Efficient bi-traits identification using CEDRNN classifier for forensic applications

Author:

Johnson Jyothi,Chitra R.,Bamini A.M. Anusha

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference27 articles.

1. Amato, G., Falchi, F., Gennaro, C., Massoli, F. V., Passalis, N., Tefas, A., Trivilini, A., Vairo, C. (2019). Face verification and recognition for digital forensics and information security. In IEEE 7th International Symposium on Digital Forensics and Security (ISDFS),1–6, https://doi.org/10.1109/ISDFS.2019.8757511.

2. On the transferability of adversarial examples against cnn-based image forensics;Barni,2019

3. The role of evaluations in reaching decisions using automated systems supporting forensic analysis Forensic Science;Bolle;International Digital Investigation,2020

4. The use of fingerprints available on the web in false identity documents: Analysis from a forensic intelligence perspective;Carlos Magno Alves Girelli;Forensic Science International,2016

5. Driver identification using in-vehicle digital data in the forensic context of a hit and run accident;Dolos;Forensic Science International Digital Investigation,2020

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